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概要と使いどころ
Design and audit PFC 5.0 asphalt dynamic loading and stress-wave studies with damping, timestep, rate, dispersion, source direction, boundary reflection, histories, and wheel-load handoff checks.
日本語の概要は準備中です。原文の説明を表示しています。
Process call notes or a transcript — extract action items, draft follow-up email, generate internal summary. Use when pasting rough notes or a transcript after a discovery, demo, or negotiation call, drafting a customer follow-up, logging the activity for your CRM, or capturing objections and next steps for your team.
日本語の概要は準備中です。原文の説明を表示しています。
"Apply Theory of Constraints (TOC) to identify and manage system bottlenecks. Use this skill when the user needs to find what limits throughput, optimize a constrained process, apply the Five Focusing Steps, or implement Drum-Buffer-Rope scheduling — even if they say 'our output is stuck', 'what's the bottleneck', or 'why can't we produce more'.".
日本語の概要は準備中です。原文の説明を表示しています。
Detects version drift between machine-readable law YAML files and the binding geldende wettekst on wetten.overheid.nl at the YAML's claimed valid_from. Catches the silent failure where authored content lags behind ingevoerde wijzigingen — a YAML dated 2025-01-01 still carrying pre-Stb.-X text. Activate as Step 0 of every regelrecht-stelselanalyse micro-cycle, before any YAML edit. Strict by design: no bypass, no normalization beyond whitespace within a single paragraph; the geldende wettekst is leading and is mirrored verbatim, including errata. Use proactively when starting a stelselanalyse cycle, before harvest/migrate/extend, or when user mentions "drift", "versie", "geldende tekst", or worries that a YAML may be stale relative to wetten.overheid.nl.
日本語の概要は準備中です。原文の説明を表示しています。
Draft standard operating procedures with scope, roles, steps, controls, exceptions, and review cadence. Use when a recurring business process needs clear repeatable instructions.
日本語の概要は準備中です。原文の説明を表示しています。
Rapidly map a new codebase, identify the runtime model, risk zones, and first high-value next steps.
日本語の概要は準備中です。原文の説明を表示しています。
Package interview loops, schedules, feedback follow-ups, and candidate next steps for recruiting operations. Use when the work is routine hiring coordination and recap packaging. Do not use for final hiring decisions, compensation judgment, or sensitive people-policy advice.
日本語の概要は準備中です。原文の説明を表示しています。
Write one-page executive briefs and decision memos that turn messy inputs into a concise recommendation, options, risks, decision ask, and next steps. Use when leaders need a fast read before approving budget, policy, vendor, headcount, or strategy changes. Do not use for long-form reports, slide design, or generic summarization without a decision.
日本語の概要は準備中です。原文の説明を表示しています。
Build change management plans using ADKAR and Kotter's 8-Step framework. Covers stakeholder readiness, communication plans, training schedules, resistance management, and adoption metrics. Use when rolling out new systems, reorganizations, or process changes that affect people.
日本語の概要は準備中です。原文の説明を表示しています。
Prompt engineering and task-specification skill for improving prompts, agent instructions, system messages, evaluation prompts, coding-agent tasks, multi-step workflows, and LLM output reliability. Use when rewriting vague prompts, adding constraints, reducing ambiguity, improving safety, creating reusable prompt templates, or converting goals into actionable agent instructions.
日本語の概要は準備中です。原文の説明を表示しています。
Generates specific, implementable fixes for every finding in findings.json. Produces code patches (unified diff), configuration changes, dependency updates, and IaC fixes — not generic advice but actual before/after code. Uses the reproduction command from each finding as the verification step: "run this after the fix — it should now fail." Stores remediation data in findings.json so the dashboard shows a Fix button and /gh-export includes the remediation in GitHub issues. Chains from /pentester, /codebase, or any scan skill after findings are produced. Chains into /gh-export for export with remediation included.
日本語の概要は準備中です。原文の説明を表示しています。
Use when auditing GitHub Actions workflows for script injection vulnerabilities via unsanitized context expressions. Trigger on: "github actions injection", "workflow injection", "head_ref injection", "github context injection", "pwn request", "github.head_ref", "github.event.pull_request.title", "github.event.issue.body", pull_request_target workflows, run: steps interpolating GitHub context variables, CI/CD script injection, GitHub Actions security audit.
日本語の概要は準備中です。原文の説明を表示しています。
Identify and exploit flaws in the core business rules and logic of web applications. This skill focuses on manipulation of application workflows, pricing, inventory limitations, and multi-step processes. Use this skill when bug hunting or testing e-commerce, banking, or SaaS platforms where standard technical vulnerabilities (e.g., XSS/SQLi) are not present but the application's logic is flawed.
日本語の概要は準備中です。原文の説明を表示しています。
Entry P1 category router for business logic testing. Use when workflow abuse, race conditions, pricing flaws, or multi-step state attacks matter more than parser-level input injection.
日本語の概要は準備中です。原文の説明を表示しています。
Business logic vulnerability playbook. Use when reasoning about workflows, race conditions, price manipulation, coupon abuse, state machines, and multi-step authorization gaps.
日本語の概要は準備中です。原文の説明を表示しています。
Test AI agent systems for tool abuse, unauthorized actions, privilege escalation through tool chaining, and safety bypass via agentic workflows. Use this skill when assessing autonomous AI agents that use tool-calling (function calling, plugins, actions) to interact with external systems. Covers multi-step attack chains, implicit trust exploitation, and capability boundary testing for AI agents.
日本語の概要は準備中です。原文の説明を表示しています。
Systematically discover hidden Application Programming Interfaces (APIs), uncover undocumented endpoints (Shadow APIs), and fuzz parameters. Use this skill as the pivotal first step in API Bug Hunting, transforming a basic frontend application into a vast mapped attack surface.
日本語の概要は準備中です。原文の説明を表示しています。
Task Breakdown Command. Breaks a feature into discrete, dependency-ordered implementation tasks from a PRD and tech spec. Creates a task list and individual task files with no approval prompt. When run inside the `/start-job` pipeline, return control to that orchestrator so it can invoke the implementation phase. When invoked standalone, stop after generating tasks and prompting for the next step. Use when the user says "break this down into tasks", "create tasks", "task breakdown", or after the tech spec is complete and the user wants to plan implementation.
日本語の概要は準備中です。原文の説明を表示しています。
Run post-merge release build steps for this repository, including Android tag-driven releases and sequential iOS IPA generation with archival for Transporter upload and Crashlytics deobfuscation. Use after the release PR has been merged.
日本語の概要は準備中です。原文の説明を表示しています。
Full instrumentation from day one. PostHog consolidates product analytics + feature flags + error tracking (one platform, one bill). GA4 via GTM (14-step automation, custom dimensions over events, server-side tagging). Sentry (deep error tracking + performance). Stripe (webhook-first with idempotent processing). Listmonk on Coolify (newsletters via Amazon SES SMTP relay). PLG 7-layer framework. Programmatic SEO (5 page types). Incident auto-remediation via Sentry→Inngest pipeline. AI search (GEO) awareness. Local business conversions (phone_click, direction_click, form_submit, booking_click) with CRO patterns for both SaaS and local.
日本語の概要は準備中です。原文の説明を表示しています。
Adopt Prisma Next into a new project, onto an existing database, or as the first move after a bootstrap tool dropped you into a scaffold. Use for "what can I do with Prisma Next", "what can I do next with Prisma", "where do I start", "what should I do first", "just ran createprisma", "createprisma", "npx createprisma", "npx create-prisma", "first steps", "first query", "I have a scaffolded Prisma Next project what now"; for `pnpm dlx prisma-next init` greenfield setup; and for `prisma-next contract infer` + `db sign` against an existing database. Also covers the connect-write-read first-arc orientation, the day-to-day commands (`contract emit`, `db init`, `db update`, `migration plan`, `migrate`, `db schema`, `db verify`), and routing to `prisma-next-contract` / `prisma-next-queries` / `prisma-next-runtime` for the next move. Flags: --target, --authoring, --schema-path, --probe-db, --output.
日本語の概要は準備中です。原文の説明を表示しています。
Upgrade Prisma Next in your extension. Bumps every `@prisma-next/*` dependency to the requested target (or npm `latest`), runs the per-transition upgrade instructions for the extension SPI (middleware lifecycle, codec / migration-tools / framework-components churn, seed-migration on-disk shape), verifies the pins are correctly exact via `prisma-next-check-pins`, runs the extension's own typecheck and tests, and commits each minor step on its own. Use when the user asks to "upgrade Prisma Next" in an extension package, or to update an extension's `@prisma-next/*` deps to a new minor.
日本語の概要は準備中です。原文の説明を表示しています。
Open a PR from the current branch to `main`: commit if needed, ensure an Nx version plan exists, push, and create the PR with a filled-in description and testing steps. Run only when the user explicitly asks to open/create a PR.
日本語の概要は準備中です。原文の説明を表示しています。
Triage the Gaia issue backlog and skill-batch intake queue. Use this skill when someone asks to: "triage issues", "clean up the issue tracker", "review the backlog", "close stale issues", "process the intake queue", "review skill-batches", "evaluate draft skill proposals", "approve or reject pending skills", "is this issue still valid?", "what's clogging the backlog?", "run a triage pass", or /gaia-triage. Covers two workstreams: (1) GitHub issue lifecycle — identifying resolved, stale, or need-more-info issues and acting on them via gh CLI; (2) skill-batch intake — evaluating draft proposals in registry-for-review/skill-batches/ and routing them toward promotion or rejection. This is the gatekeeping step before new skills enter the canonical registry; and (3) a cross-repo triage sweep — sizing, P0-P4 prioritization, umbrella/epic synthesis, and assignment across every gaia-research org repo, on the one headquarters tracker.
日本語の概要は準備中です。原文の説明を表示しています。